iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4845
Single Precision Score
5674
Half Precision Score
5006
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | November 18 2024 10:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
97% |
1881
351.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2684
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3698
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16959
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18365
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16964
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
2734
216.9 IPS |
|
|
Object Detection (Q)
|
91% |
2217
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
6816
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
5741
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12182
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13613
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11404
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28725
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34840
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31994
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6488
239.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5407
199.6 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
855
14.8 IPS |
